Bookling – Track Your Reading Habits — Mister Bumbles Interactive

Bookling – Track Your Reading Habits — Mister Bumbles Interactive

Introducing Bookling, a mobile app which helps you keep track of your reading habits and motivates you to read more. Bookling lets you bookmark multiple books, track your progress, setup reminders and help you achieve your reading goals.

Learning machine learning — Benedict Evans

Learning machine learning — Benedict Evans

As has happened with many technologies before, AI is bursting out of universities and research labs and turning into product, often led by those researchers as they turn entrepreneur and create companies. Lots of things started working, the two most obvious illustrations being the progress for ImageNet and of course AlphaGo. And in parallel, many of these capabilities are being abstracted – they’re being turned into open source frameworks that people can pick up (almost) off the shelf. So, one could argue that AI is undergoing a take-off in practicality and scale that’s going to transform tech just as, in different ways, packets, mobile, or open source did.

This also means, though, that there’s a sort of tech Tourettes’ around – people shout ‘AI!’ or ‘MACHINE LEARNING!’ where people once shouted ‘OPEN!’ or ‘PACKETS!’. This stuff is changing the world, yes, but we need context and understanding. ‘AI’, really, is lots of different things, at lots of different stages. Have you built HAL 9000 or have you written a thousand IF statements?  

Back in 2000 and 2001 (and ever since) I spent a lot of my time reading PDFs about mobile – specifications and engineers’ conference presentations and technical papers – around all the layers of UMTS, WCDMA, J2ME, MEXE, WML, iAppli, cHTML, FeliCa, ISDB-T and many other things besides, some of which ended up mattering and some of which didn’t. (My long-dormant del.icio.us account has plenty of examples of both).

The same process will happen now with AI within a lot of the tech industry, and indeed all the broader industries that are affected by it. AI brings a blizzard of highly specialist terms and ideas, layered upon each other, that previously only really mattered to people in the field (mostly, in universities and research labs) and people who took a personal interest, and now, suddenly, this starts affecting everyone in technology. So, everyone who hasn’t been following AI for the last decade has to catch up.  

Web Trend Map (May 2009)

Web Trend Map – Test

(circa.  May 2009)

The Web Trend Map is a yearly publication by Information Architects Inc. (iA).

It maps the 333 leading Web domains and the 111 most influential Internet people onto the Tokyo Metro map.

Domains are carefully selected by the iA research team in Zürich and chosen through dialogue with map enthusiasts.

Each domain is evaluated based on traffic, revenue, age and the company that owns it.

The iA design team in Tokyo assigns these selected domains to individual stations on the Tokyo Metro map in ways that complement the characters of each.

For example, Twitter is located in Shibuya this year: Shibuya is the station with the biggest buzz.

Google is placed in the busiest, most highly trafficked train station in the world: Shinjuku.

The New York Times, the »Old Gray Lady«, is located in Sugamo—a shopping paradise for Tokyo’s grandmothers.

We grouped closely-associated websites and tried to make sure each individual domain is on a metro line that suits it, with close attention paid to the intersections.

As a result, the map produces a web of associations: some provocative, some curious, others satirically accurate.

Why Tokyo Metro? Because it works beautifully.

You can evaluate a domain based on its station’s height,width andposition.

Height: A station’s height represents its domain’s success. »Success« refers not only to traffic, but also revenue and trend.

Width: A station’s width represents the stability of the company behind its domain. However, not every large corporation has a large building.

Unless its domain has proven itself as a significant online component, its station remains thin.

Position: A station’s location on a metro line indicates the group it belongs to.

A station‘s position on the map—whether inside the main line, on the main line, or outside the main line—indicates whether it is a part of the tech establishment, a traffic hub, or an online suburb.

The American Scholar: Saving the Self in the Age of the Selfie – James McWilliams

The American Scholar: Saving the Self in the Age of the Selfie – James McWilliams

In 2012, Paul Miller, a 26-year-old journalist and former writer for The Verge, began to worry about the quality of his thinking. His ability to read difficult studies or to follow intricate arguments demanding sustained attention was lagging. He found himself easily distracted and, worse, irritable about it. His longtime touchstone—his smartphone—was starting to annoy him, making him feel insecure and anxious rather than grounded in the ideas that formerly had nourished him. “If I lost my phone,” he said, he’d feel “like I could never catch up.” He realized that his online habits weren’t helping him to work, much less to multitask. He was just switching his attention all over the place and, in the process, becoming a bit unhinged.

Subtler discoveries ensued. As he continued to analyze his behavior, Miller noticed that he was applying the language of nature to digital phenomena. He would refer, for example, to his “RSS feed landscape.” More troubling was how his observations were materializing not as full thoughts but as brief Tweets—he was thinking in word counts.

When he realized he was spending 95 percent of his waking hours connected to digital media in a world where he “had never known anything different,” he proposed to his editor a series of articles that turned out to be intriguing and prescriptive. What would it be like to disconnect for a year? His editor bought the pitch, and Miller, who lives in New York, pulled the plug.

For the first several months, the world unfolded as if in slow motion. He experienced “a tangible change in my ability to be more in the moment,” recalling how “fewer distractions now flowed through my brain.” The Internet, he said, “teaches you to expect instant gratification, which makes it hard to be a good human being.” Disconnected, he found a more patient and reflective self, one more willing to linger over complexities that he once clicked away from. “I had a longer attention span, I was better able to handle complex reading, I did not need instant gratification, and,” he added somewhat incongruously, “I noticed more smells.” The “endless loops that distract you from the moment you are in,” he explained, diminished as he became “a more reflective writer.” It was an encouraging start.

But if Miller became more present-minded, nobody else around him did. “People felt uncomfortable talking to me because they knew I wasn’t doing anything else,” he said. Communication without gadgets proved to be a foreign concept in his peer world. Friends and colleagues—some of whom thought he might have died—misunderstood or failed to appreciate Miller’s experiment.

Plus, given that he had effectively consigned himself to offline communications, all they had to do to avoid him was to stay online. None of this behavior was overtly hostile, all of it was passive, but it was still a social burden reminding Miller that his identity didn’t thrive in a vacuum. His quality of life eventually suffered.

What we do about it may turn out to answer one of this century’s biggest questions. A list of user-friendly behavioral tips—a Poor Richard’s Almanack for achieving digital virtue—would be nice.

But this problem eludes easy prescription. The essence of our dilemma, one that weighs especially heavily on Generation Xers and millennials, is that the digital world disarms our ability to oppose it while luring us with assurances of convenience. It’s critical not only that we identify this process but also that we fully understand how digital media co-opt our sense of self while inhibiting our ability to reclaim it. Only when we grasp the inner dynamics of this paradox can we be sure that the Paul Millers of the world—or others who want to preserve their identity in the digital age—can form technological relationships in which the individual determines the use of digital media rather than the other way around.

The Unbearable Homogeneity of Design — Medium

The Unbearable Homogeneity of Design — Medium

Section 1: What The Fuck Are We Doing, Tho?
Call it the Dribbblization of design, but we’re all making more or less the same thing.

Certainly, design should follow some basic paradigms to make whatever we’re designing easy to use. All scissors look fundamentally the same because that’s what works.

But digital design—whether it’s for desktop, mobile, VR, games, whatever—is still relatively young. We simply do not know what the best solutions are. At best, we’ve reached a local maximum. And so long as we reward predictable designs, we will never move past this local maximum.

“Empathy” in design doesn’t just mean designing for marginalized people. It can simply mean designing with the understanding that there are other aesthetics and world views than yours.

Why Do I Have to Call This App ‘Julie’? – The New York Times

Why Do I Have to Call This App ‘Julie’? – The New York Times

  • Why does artificial intelligence need a gender.
  • The latest technology is stuck in the oldest stereotypes.

And why does artificial intelligence need a gender at all? Why not imagine a talking cat or a wise owl as a virtual assistant? I would trust an anthropomorphized cartoon animal with my calendar. Better yet, I would love to delegate tasks to a non-binary gendered robot alien from a galaxy where setting up meetings over email is respected as a high art.

Technologies speak with recorded feminine voices because women “weren’t normally there to be heard,” Helen Hester, a media studies lecturer at the University of West London, told me. A woman’s voice stood out. For example, an automated recording of a woman’s voice used in cockpit navigation becomes a beacon, a voice in stark contrast with that of everyone else, when all the pilots on board are men.

..

The product is an interesting idea and easy to use, but interacting with a fake woman assistant just feels too weird. So I shut “her” off. This Stepford app, designed to make my work more efficient, only reminds me of the gendered division of labor that I’m trying to escape.